New data fusion and tracking approaches in multiple targets/distributed sensors network contexts

• Authors: F. Martinerie
• Venue: ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
• Year: 1993

The problem of target tracking from distributed sensors in a cluttered environment is addressed. In recent publications [1], [2] we have introduced a new and original approach in target tracking and target motion analysis. Two variants of this method have been developped, one using the bayesian probabilities theory, and one using the theory of evidence. These variants and their specificities with regard to classic tracking methods are here recalled, with some extentions to the previous work. Special attention is here given to the comparison between these two variants, and to difficult cases as multiple maneuvering targets or crossing targets.